Research on fatigue life evaluation method of shafts based on small sample P–S–N

[1]  Shun‐Peng Zhu,et al.  Multiaxial fatigue under variable amplitude loadings: review and solutions , 2022, International Journal of Structural Integrity.

[2]  Jianxiong Gao,et al.  A general method for determining probabilistic S-N curve based on static strength data of material , 2022, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

[3]  Xintian Liu,et al.  Evaluation and prediction of material fatigue characteristics under impact loads: review and prospects , 2022, International Journal of Structural Integrity.

[4]  Jinze Xu,et al.  Study on the P-S-N Curve of Sucker Rod Based on Three-Parameter Weibull Distribution , 2022, Materials.

[5]  Debiao Meng,et al.  A time-varying mechanical structure reliability analysis method based on performance degradation , 2021, Structures.

[6]  D. Paolino,et al.  Statistical models for estimating the fatigue life, the stress–life relation, and the P‐S–N curves of metallic materials in Very High Cycle Fatigue: A review , 2021, Fatigue & Fracture of Engineering Materials & Structures.

[7]  D. Shan,et al.  The relationship between inclusions characteristic parameters and bending fatigue performance of 20Cr2Ni4A gear steel , 2021, International Journal of Fatigue.

[8]  Muhammad Aslam,et al.  Designing of an attribute control chart based on modified multiple dependent state sampling using accelerated life test under Weibull distribution , 2021, Commun. Stat. Simul. Comput..

[9]  Shun‐Peng Zhu,et al.  The effect of notch size on critical distance and fatigue life predictions , 2020 .

[10]  Liyang Xie,et al.  Determination of the fatigue P-S-N curves – A critical review and improved backward statistical inference method , 2020 .

[11]  J. Correia,et al.  Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions , 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

[12]  Shun‐Peng Zhu,et al.  Probabilistic fatigue assessment of notched components under size effect using critical distance theory , 2020 .

[13]  Wali Khan Mashwani,et al.  A novel flexible additive Weibull distribution with real-life applications , 2020 .

[14]  A. Carnicero,et al.  A new approach to fitting the three-parameter Weibull distribution: An application to glass ceramics , 2019 .

[15]  J. Correia,et al.  Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art , 2019, Advances in Mechanical Engineering.

[16]  R. Sesana,et al.  Proposal of a new low-cycle fatigue life model for cast iron with room temperature calibration involving mean stress and high-temperature effects , 2019, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

[17]  Xiufeng Tan P–S–N Curve Fitting Method Based on Sample Aggregation Principle , 2019, Journal of Failure Analysis and Prevention.

[18]  Weiwen Peng,et al.  Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks , 2018, International Journal of Mechanical Sciences.

[19]  J. Correia,et al.  Analysis of the fatigue life estimators of the materials using small samples , 2018, The Journal of Strain Analysis for Engineering Design.

[20]  M. Kawai,et al.  Anisomorphic constant fatigue life diagrams of constant probability of failure and prediction of P–S–N curves for unidirectional carbon/epoxy laminates , 2016 .

[21]  Jae-Hoon Kim,et al.  Evaluation of Fatigue Life of Welded Joint of Gear Box-Shank in Vibro Ripper Using P-S-N Curve , 2015 .

[22]  Liyang Xie,et al.  Backwards statistical inference method for P–S–N curve fitting with small-sample experiment data , 2014 .

[23]  Zhiyong Wu,et al.  Multiaxial fatigue life prediction for titanium alloy TC4 under proportional and nonproportional loading , 2014 .

[24]  Sung-Ki Lyu,et al.  A study on the evaluation of bending fatigue strength for 20CrMoH gear , 2013 .

[25]  Jian-ming Zhai,et al.  A methodology to determine a conditional probability density distribution surface from S–N data , 2012 .

[26]  Matija Fajdiga,et al.  Estimating S–N curves and their scatter using a differential ant-stigmergy algorithm , 2012 .

[27]  Masato Yamashita,et al.  On stochastic evaluation of S–N data based on fatigue strength distribution , 2010 .

[28]  Yousef Al-Assaf,et al.  FATIGUE LIFE PREDICTION OF COMPOSITE MATERIALS USING POLYNOMIAL CLASSIFIERS AND RECURRENT NEURAL NETWORKS , 2007 .

[29]  Wei Chen,et al.  Bootstrap Based Confidence Interval Estimation of \\[6pt]Quantiles for Current Status Data , 2021, International Journal of Statistics and Probability.